Agentic AI marketing · 23 October 2026

The buyer has changed.

What if you could rank number one on Google — and still lose more than half your clicks?

Not because you did anything wrong. Because your customer stopped clicking.

In the next ten minutes, I'll show you how buying has changed, what the numbers say, and what to do about it. The fix is not another SEO trick. It is a new kind of marketing engine. This video is from Rathinam Trainers and Consultants. We help organisations move from traditional marketing to agentic AI marketing. More on that at the end. First, the problem.

How buying used to work

Think about the last thing you bought that cost more than a day's salary. A laptop, maybe, for serious work. Now think about how you chose it.

Ten years ago, the answer was the same for all of us. We typed "best laptop" into Google. We opened ten tabs. We compared prices, read reviews, got confused, slept on it, and came back the next day to decide.

For two decades, that was the shape of every buyer's journey. Search. Links. Click. Website. Convince. Buy.

Every marketing discipline grew around that one step, the click. SEO existed to win the ranking. Paid search existed to buy the click. Landing pages existed to catch the click. Analytics existed to count the click. The click was the unit of marketing. Win the click, and you had a fair chance at the sale.

The machine became the gatekeeper

Today's buyer does something very different. They sit at one laptop and type one full question: "Which laptop in my budget is best for machine learning?" The question goes to ChatGPT, or Gemini, or Perplexity. And one answer comes back. Three laptops, ranked one, two, three, with a short reason under each. No tabs.

That machine has already read your website, your competitors' websites, the reviews, the Reddit threads, the comparison articles. It has already formed an opinion. And it delivers that opinion as a confident, friendly answer.

So the shortlist is made before the buyer visits anyone. The brands in the answer get considered. Every other brand? Not rejected — never shown. The machine has become the gatekeeper. It decides who gets mentioned and who stays invisible.

And this is not only ChatGPT. Google itself now opens with an AI Overview — a summary that answers the question right there, so you never need to click.

The numbers: the journey has flipped

This is not a prediction. It is already measured. In 2024, 43 percent of buyers started their purchase research on traditional search, and only 25 percent on an AI platform. Today the two have swapped places: 46 percent now start on AI, and search has fallen to 24. In two years, the starting line of the buyer's journey has flipped.

And it changes decisions, not just research. A national survey in Ireland found that 46 percent of adults have used AI to research, compare or choose a product. More than half of them went on to buy — one in four Irish adults. And among 18 to 24 year olds, 43 percent discovered a brand they had never heard of, because an AI suggested it. That is your customer base five years from now.

Your clicks are already gone

Now the other side: what happens to your clicks. The Pew Research Center watched real browsing behaviour. When an AI summary appears on Google, users click a search result only 8 percent of the time, against 15 percent without one. And only 1 percent click the sources cited inside the summary.

Ahrefs studied three hundred thousand keywords and found that AI Overviews cut the click-through rate of the top-ranking page by 58 percent. You did everything right. You are ranked first. And more than half of your clicks are gone anyway. In Google's new AI Mode, around 93 percent of sessions end without any external click at all.

One nuance, and it matters. AI has not killed Google; it sits beside it. A Semrush survey of one thousand US shoppers found that 86 percent check an AI's recommendation before they buy — and Google is where most of them check. The buyer now travels two roads at once. You need to be on both.

The 30-second test

Here is a test you can do right now. Pause this video. Open ChatGPT. Type the question your customer would ask. Start with the word best, then your product, then who it is for. For example: best billing software for a small retail shop. See whether your brand appears. And read carefully what it says about you.

If you're not there, or the AI has your facts wrong, that is the gap. And if you'd like us to run that check for you across all the major AI platforms, our details are at the end of this video.

Why the old playbook breaks

So why does this break the old playbook? Four reasons.

First, ranking no longer equals traffic. You can hold position one and still lose half your visitors.

Second, there is no paid entry. You can raise the ad bid as high as you like — the assistant will not sell you a slot in its recommendation. Its opinion is earned, never bought.

Third, you go blind. When the buyer researches inside an AI, there is no click, no cookie, no visit, no funnel data. The most important moment of the decision is hidden from you.

Fourth, the machine can be wrong about you. An old price, a product you stopped selling, a competitor's claim. The buyer reads it and wonders — and your correction never reaches them, because they never reached your page.

The new game: being in the answer

So the question has changed. It used to be: "Are we on page one?" Now it is: "When the machine answers, does it say our name — and does it say the right things?" Three checks. Is our name mentioned? Are the facts correct? Is the story positive?

This new game has a name: Answer Engine Optimisation. It has three parts.

One: be the source the machine trusts. Clear, factual, well-structured pages. The same product facts everywhere. Honest comparison content that answers the real question a buyer would type.

Two: be present where the machine reads. Wikipedia, YouTube, Reddit, reviews, industry lists, expert articles — the machine learns about you from third parties as much as from you. These are now marketing channels.

Three: measure and correct. Ask the machines the same questions your buyers ask. Record who gets mentioned and what is said. Find the gaps and the errors. Fix them. Repeat.

What agentic AI marketing means

And that word — repeat — is the whole point. The old search game moved in months. The new one moves weekly. Models update. Sources change. A competitor publishes one good comparison page, and your share of the answer drops. A one-time audit is useless. You need a running system.

You could hire a team to do this by hand. Or you could do what the leading marketing teams do: let AI agents do the repeating, and let your people do the deciding.

That is what agentic AI marketing means. Not a chatbot. Not a marketer with a ChatGPT licence. A set of software agents working on your marketing around the clock. One asks the AI platforms your buyers' questions every week and tracks your share of the answer. One catches wrong facts about your brand. One writes the comparison pages and FAQs the machines are hungry for. One personalises your outreach. And a human — your marketing head — sets the goals and approves what goes out.

How we work

This is the work we do at Rathinam Trainers and Consultants. Three things. Build. Train. Consult.

We build. We take your existing marketing — website, content, CRM, campaigns — and convert it, step by step, into an agentic marketing engine on top of the tools you already use. Nothing thrown away. Everything upgraded.

We train. Every week we run live training in agentic AI and AI security for learners across the globe. So we don't just hand you a system — we teach your team to run it and grow it.

We consult. We start with an AI visibility audit: what the machines say about you today, where your competitors are winning, and the three things to fix first.

The only question that matters

Let me end where I began. The buyer has changed. They no longer open ten tabs. They ask one question and trust one answer.

For twenty years, marketing asked: "Are we on page one?" The new question is the only one that matters: "When the machine speaks for us, is it saying our name?"

If you're not sure of the answer, let's find out together. Visit rathinamconsultants dot com, or call or WhatsApp us on plus nine one, eight zero nine eight eight, four zero four two two. The link and number are in the description below.

And if this video changed how you see your marketing, subscribe. The next video: how a small marketing team does the work of a large one — without adding headcount.

Thank you for watching.

Sources

Every number above, with where it comes from — checked 22 October 2026.

Researched, written and reviewed by the Rathinam Trainers & Consultants team. The film's narration is an AI-generated voice; illustrations were created with AI tools under our direction.

Ask us to run the AI visibility audit